353 research outputs found

    Technical Note: Determination of the SCS initial abstraction ratio in an experimental watershed in Greece

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    International audienceThe present study was conducted in an experimental watershed in Attica, Greece, using observed rainfall/runoff events. The objective of the study was the determination of the initial abstraction ratio of the watershed. The average ratio (Ia/S) of the entire watershed was equal to 0.014. The corresponding ratio at a subwatershed was 0.037. The difference was attributed to the different spatial distribution of landuses and geological formations at the extent of the watershed. Both of the determined ratios are close to the ratio value of 0.05 that has been suggested from many studies for the improvement of the SCS-CN method

    Hydroxyl-platelet-activating factor exists in blood of healthy volunteers and periodontal patients.

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    Periodontal diseases are localized chronic inflammatory conditions of the gingival and underlying bone and connective tissue. Platelet-activating factor (PAF), a potent inflammatory phospholipid mediator that has been previously detected in elevated levels in inflamed gingival tissues, in gingival crevicular fluid and in saliva, is implicated in periodontal disease. Our results from previous studies showed that the biologically active phospholipid detected in gingival crevicular fluid is a hydroxyl-PAF analogue. In this study, hydroxyl-PAF analogue was detected for the first time in human blood derived from patients with chronic periodontitis as well as from periodontally healthy volunteers. The hydroxyl-PAF analogue was purified by high-performance liquid chromatography, detected by biological assays and identified by electrospray analysis. In addition, the quantitative determination of PAF and hydroxyl-PAF analogue (expressed as PAF-like activity) showed a statistically significant increase in the ratio of hydroxyl-PAF analogue levels to PAF levels in periodontal patients, suggesting that this bioactive lipid may play a role in oral inflammation

    Monte Carlo Deep Neural Network Model for Spread and Peak Prediction of COVID-19

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    Just a few days before the beginning of this year a new virus, widely known as the COVID-19, was detected in Wuhan, capital of the province Hubei, China. Since then, COVID-19 has spread all across the globe infecting more than half a million people resulting to the passing of nearly 25000 patients. Beside the social pain that this new pandemic is causing, the measures put in force to halt the spreading of the virus are stressing the global economy indicating a domino efect that can last even longer than the probable eradication of COVID-19. Yet, these measures are necessary to prevent health system reach their capacity, an occasion where di cult decisions will need to be made such as prioritization of patients to be treated

    INVESTIGATION OF RAINWATER HARVESTING TANK SIZE FOR LIVESTOCK USE IN GREECE

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    Η συλλογή όμβριων υδάτων αποτελεί μια πανάρχαια πρακτική κάλυψης των υδατικών αναγκών τόσο για αστική χρήση όσο για άρδευση και κτηνοτροφία. Στην παρούσα εργασία διερευνήθηκε η χωρητικότητα ομβροδεξαμενής για την κάλυψη των υδατικών αναγκών μιας μέσης κτηνοτροφικής μονάδας αιγοπροβάτων εφαρμόζοντας τη μέθοδο του ημερήσιου υδατικού ισοζυγίου. Χρησιμοποιήθηκαν ημερήσιες τιμές βροχόπτωσης διάρκειας 10 έως 16 ετών από τους σταθμούς “Άγναντα” Άρτας, “Καστανιά” Κορινθίας, “Αρμένοι” Ρεθύμνου και “Κιμμέρια” Ξάνθης,  και τα αποτελέσματα έδειξαν ότι υπάρχει μεγάλη διακύμανση μεταξύ του μεγέθους ομβροδεξαμενών στους σταθμούς μελέτης λόγω των διαφορών στο ετήσιο ύψος βροχής και τη μέγιστη άνομβρη περίοδο που παρατηρήθηκαν μεταξύ των σταθμών.Rainwater harvesting is an ancient practice used to cover water needs for domestic, irrigation and livestock uses. In this study, the rainwater harvesting tank size was investigated to meet the water needs of a mixed goat-sheep farm using the method of daily water balance. Daily rainfall data for a period of 10 to 16 years from the stations “Agnanta” Arta, “Kastania” Korinthia, "Armeni" Rethymnon and “Kimmeria” Xanthi were used. Analysis of the results showed that there is a great variation in the rainwater harvesting tank size among stations studied due to differences in annual rainfall and maximum dry period

    Impact of antibiotic timing on mortality from Gram-negative bacteraemia in an English district general hospital: the importance of getting it right every time

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    Objectives: There is limited evidence that empirical antimicrobials affect patient-oriented outcomes in Gram-negative bacteraemia. We aimed to establish the impact of effective antibiotics at four consecutive timepoints on 30 day all-cause mortality and length of stay in hospital. / Methods: We performed a multivariable survival analysis on 789 patients with Escherichia coli, Klebsiella spp. and Pseudomonas aeruginosa bacteraemias. Antibiotic choices at the time of the blood culture (BC), the time of medical clerking and 24 and 48 h post-BC were reviewed. / Results: Patients that received ineffective empirical antibiotics at the time of the BC had higher risk of mortality before 30 days (HR = 1.68, 95% CI = 1.19–2.38, P = 0.004). Mortality was higher if an ineffective antimicrobial was continued by the clerking doctor (HR = 2.73, 95% CI = 1.58–4.73, P < 0.001) or at 24 h from the BC (HR = 1.83, 95% CI = 1.05–3.20, P = 0.033) when compared with patients who received effective therapy throughout. Hospital-onset infections, ‘high inoculum’ infections and elevated C-reactive protein, lactate and Charlson comorbidity index were independent predictors of mortality. Effective initial antibiotics did not statistically significantly reduce length of stay in hospital (−2.98 days, 95% CI = −6.08–0.11, P = 0.058). The primary reasons for incorrect treatment were in vitro antimicrobial resistance (48.6%), initial misdiagnosis of infection source (22.7%) and non-adherence to hospital guidelines (15.7%). / Conclusions: Consecutive prescribing decisions affect mortality from Gram-negative bacteraemia

    Long-term outcome and risk factors for late mortality in Gram-negative bacteraemia: a retrospective cohort study

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    OBJECTIVES: The long-term outcomes of patients following Gram-negative bacteraemia (GNB) are poorly understood. We describe a cohort of patients with GNB over a two-year period and determine factors associated with late mortality (death between days 31 and 365 after detection of bacteraemia). METHODS: This is a single center retrospective observational cohort study of 789 patients with confirmed Escherichia coli, Klebsiella spp and Pseudomonas aeruginosa bacteraemias with a follow-up of one year. Multivariable survival analysis was used to determine the risk factors for late mortality in patients who survived the initial 30-day period of infection. RESULTS: Overall, one-year all-cause mortality was 36.2%, with 18.1% of patients dying within 30 days and 18.1% of patients suffering late mortality. An adverse antimicrobial resistance profile (HR 1.095 per any additional antimicrobial category, 95% CI 1.018 - 1.178, p = 0.014) and infection with Pseudomonas aeruginosa (HR 2.08, 95% CI 1.11 - 3.88, p = 0.022) were independent predictors of late mortality. Other significant factors included the Charlson Comorbidity Index and hospitalization length after the index blood culture. CONCLUSION: Patients with GNB have a poor long-term prognosis. Risk factors for greater mortality at one year include comorbidity, hospitalization length, the infecting organism, and its resistance profile

    COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence

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    In early 2020, the world began to watch with caution the spread of an outbreak of pneumonia associated with a new coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which originated in late December 2019 in Wuhan City, Hubei Province, China. The rapid spread of this outbreak meant that in just one month more than 33 countries were infected with more than 85,200 cases

    Diagnostic accuracy of the Abbott ID NOW SARS-CoV-2 rapid test for the triage of acute medical admissions

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    Background: Decisions to isolate patients at risk of having coronavirus disease 2019 (COVID-19) in the emergency department (ED) must be rapid and accurate to ensure prompt treatment and maintain patient flow whilst minimising nosocomial spread. Reverse transcription polymerase chain reaction (RT-PCR) assays are too slow to achieve this, and near-patient testing is being used increasingly to facilitate triage. The ID NOW severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) assay is an isothermal nucleic acid amplification near-patient test which targets the RNA-dependent RNA-polymerase gene. Aim: To assess the diagnostic performance of ID NOW as a COVID-19 triage tool for medical admissions from the ED of a large acute hospital. Methods: All adult acute medical admissions from the ED between 31st March and 31st July 2021 with valid ID NOW and RT-PCR results were included. The diagnostic accuracy of ID NOW [sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV)] was calculated against the laboratory reference standard. Discrepant results were explored further using cycle threshold values and clinical data. Findings: Two percent (124/6050) of medical admissions were SARS-CoV-2 positive on RT-PCR. Compared with PCR, ID NOW had sensitivity and specificity of 83.1% [95% confidence interval (CI) 75.4–88.7] and 99.5% (95% CI 99.3–99.6), respectively. PPV and NPV were 76.9% (95% CI 69.0–83.2) and 99.6% (95% CI 99.5–99.8), respectively. The median time from arrival in the ED to ID NOW result was 59 min. Conclusion: ID NOW provides a rapid and reliable adjunct for the safe triage of patients with COVID-19, and can work effectively when integrated into an ED triage algorithm

    Production of Medical Radioisotopes with High Specific Activity in Photonuclear Reactions with γ\gamma Beams of High Intensity and Large Brilliance

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    We study the production of radioisotopes for nuclear medicine in (γ,xn+yp)(\gamma,x{\rm n}+y{\rm p}) photonuclear reactions or (γ,γ\gamma,\gamma') photoexcitation reactions with high flux [(1013101510^{13}-10^{15})γ\gamma/s], small diameter (100μ\sim (100 \, \mum)2)^2 and small band width (ΔE/E103104\Delta E/E \approx 10^{-3}-10^{-4}) γ\gamma beams produced by Compton back-scattering of laser light from relativistic brilliant electron beams. We compare them to (ion,xxn+y + yp) reactions with (ion=p,d,α\alpha) from particle accelerators like cyclotrons and (n,γ\gamma) or (n,f) reactions from nuclear reactors. For photonuclear reactions with a narrow γ\gamma beam the energy deposition in the target can be managed by using a stack of thin target foils or wires, hence avoiding direct stopping of the Compton and pair electrons (positrons). (γ,γ)(\gamma,\gamma') isomer production via specially selected γ\gamma cascades allows to produce high specific activity in multiple excitations, where no back-pumping of the isomer to the ground state occurs. We discuss in detail many specific radioisotopes for diagnostics and therapy applications. Photonuclear reactions with γ\gamma beams allow to produce certain radioisotopes, e.g. 47^{47}Sc, 44^{44}Ti, 67^{67}Cu, 103^{103}Pd, 117m^{117m}Sn, 169^{169}Er, 195m^{195m}Pt or 225^{225}Ac, with higher specific activity and/or more economically than with classical methods. This will open the way for completely new clinical applications of radioisotopes. For example 195m^{195m}Pt could be used to verify the patient's response to chemotherapy with platinum compounds before a complete treatment is performed. Also innovative isotopes like 47^{47}Sc, 67^{67}Cu and 225^{225}Ac could be produced for the first time in sufficient quantities for large-scale application in targeted radionuclide therapy.Comment: submitted to Appl. Phys.
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